Deploy log
DPL-005Agentic AIdeployed · live

Pulse — Realtime Analytics

Natural-language analytics copilot for non-technical teams.

client
Cadence
sector
Analytics / operations
timeline
14 weeks
shipped
2025
5s
question to dashboard
90%
self-serve queries
1 wk
data-team time reclaimed
case_file
  1. stage_01 · diagnose

    The challenge

    Every business question routed through a stretched data team. Non-technical teams waited days for answers, and by the time a dashboard arrived the question had often moved on.

  2. stage_02 · build

    The approach

    We built a natural-language copilot on top of a governed semantic layer — so anyone can ask a question in plain English and get a consistent, permission-aware answer. Streaming pipelines keep the numbers live rather than a nightly batch.

  3. stage_03 · ship

    The outcome

    Questions go from plain English to a trustworthy dashboard in about five seconds, and the data team got its week back to work on the hard problems instead of ad-hoc pulls.

    5sinsight to dashboard
scope_of_work

What we owned on this engagement, end to end.

  • 01NL analytics copilot
  • 02Semantic layer
  • 03Realtime pipelines
  • 04Governance
build_manifest

The runtime this system ships and runs on in production.

dependencies06 loaded
TypeScriptPythonClickHouseOpenAIPostgresVercel

Have something to build?

Tell us what you're shipping — you'll hear back from the people who'll actually build it.

Start a project